
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "187"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 77 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 73 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.737261	-0.770519	-0.230810	1.559085	-0.422609	-0.834624	-0.040322	1.089709	0.7786	0.7772	0.2709	14.447691	12.308154
2459593	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.067893	1.100355	-0.831430	1.898345	-0.166474	1.648538	0.895260	0.892059	0.7128	0.7063	0.2669	4.914314	4.737550
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.397059	-0.650840	-0.816052	-0.480617	0.233839	0.840067	1.548299	1.344929	0.0345	0.0334	0.0015	nan	nan
2459591	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.423588	1.222869	-0.860244	2.714257	-0.176946	0.805096	1.285252	4.542928	0.6630	0.6708	0.3721	4.394788	3.870434
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.574696	1.581090	-0.723796	2.170096	-0.679477	0.857891	1.516923	4.406169	0.6640	0.6671	0.3671	5.910825	5.458632
2459589	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.632452	0.855971	-0.887251	1.954887	0.236403	0.814173	-0.288777	0.728733	0.7101	0.6981	0.2852	5.522223	4.913967
2459588	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.255296	-0.519295	-1.050752	2.471634	0.880584	-0.088796	1.291734	0.546781	0.7496	0.7323	0.2529	10.572975	7.376438
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	-0.566880	0.260168	-1.007616	4.938014	-0.476436	2.873162	2.868127	2.774840	nan	nan	nan	19.827652	13.905739
2459586	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.123475	-0.135180	1.694344	0.019046	3.130035	-0.951374	3.908786	2.408087	0.6654	0.6779	0.3533	3.919788	3.842994
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	7.553501	-0.094454	3.629833	-0.254661	5.463092	-0.476960	4.060842	12.920262	0.0435	0.0373	0.0028	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.686710	1.861395	0.408978	7.291204	-0.572025	19.600431	0.982591	1.441774	0.6092	0.6255	0.3705	18.626227	15.248075
2459583	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.040520	1.282343	-0.521542	3.957249	-0.378181	1.636969	1.324600	2.266225	0.6639	0.6774	0.3863	0.000000	0.000000
2459582	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.272458	1.222080	-0.675984	3.547542	-0.151756	2.700782	1.058622	3.531720	0.6704	0.6845	0.3904	5.228265	5.378696
2459581	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.108781	2.288828	-0.381579	4.162434	-0.079480	2.563397	2.029843	3.700967	0.6718	0.6863	0.3888	3.895854	3.638857
2459580	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.600086	1.466321	-0.877462	4.384447	-0.656690	2.451813	2.526481	2.063587	0.6745	0.6864	0.3865	6.018454	5.952253
2459579	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.710599	1.352424	-0.954271	1.697137	2.661786	2.581579	2.533320	8.471333	0.0326	0.0358	0.0017	nan	nan
2459577	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.734968	1.961491	-0.450963	3.774437	-0.262869	2.548817	1.834886	3.502228	0.6699	0.6836	0.3897	5.553092	5.645079
2459576	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.032002	1.485633	-0.400348	2.438412	-0.069508	1.821182	3.919708	1.812340	0.6950	0.7063	0.3872	4.364306	3.982382
2459575	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.984313	1.008071	-0.612532	2.638591	0.110136	0.737891	-0.539615	2.040344	0.7626	0.7624	0.3345	4.272408	4.086689
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459572	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.051170	1.471948	-0.483500	2.469083	-0.778219	1.477889	2.243290	8.632905	0.6940	0.7086	0.3908	4.503581	4.402472
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.476022	0.421595	-0.883443	0.381477	-0.014487	13.025266	1.845026	18.205961	0.0355	0.0409	0.0018	nan	nan
2459570	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.453246	0.123601	0.482350	0.520493	0.658368	0.575612	1.386509	1.729665	0.6771	0.7082	0.3722	0.000000	0.000000
2459569	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.396984	0.943641	-0.412005	5.300811	-0.530957	6.591745	-0.278575	7.223413	0.7754	0.7813	0.2266	6.253329	6.105271
2459566	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.233723	-0.188675	-0.348588	1.204664	-0.185237	0.998456	5.127297	16.531936	0.6876	0.7026	0.4057	3.146296	2.914311
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	0.190615	0.190615	0.168786	0.168786	-0.882853	-0.882853	-0.945292	-0.945292	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.045175	0.013163	-0.060547	-0.130154	0.125972	2.517459	1.852892	15.157625	0.6981	0.7080	0.4023	3.382442	3.283876
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.003116	0.941681	-0.284502	-0.202887	-0.206411	1.860229	2.760416	27.564333	0.6948	0.7084	0.3928	3.234820	3.045641
2459562	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.126560	0.558416	-0.026785	1.040152	0.197383	1.002654	2.876624	10.784349	0.6979	0.7130	0.3881	3.103064	3.054337
2459561	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.105851	0.444286	-0.103629	0.980043	0.534690	0.764152	2.988605	15.384136	0.7000	0.7147	0.3859	6.404212	5.477611
2459560	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.027949	0.310273	0.103705	0.844376	0.449749	1.771187	1.780262	19.366688	0.6904	0.7057	0.4031	3.473062	3.404145
2459559	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.161082	0.246668	-0.023629	0.689969	0.240458	1.791385	0.807982	12.094348	0.6965	0.7110	0.3856	3.214432	3.174673
2459558	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0326	0.0342	0.0016	nan	nan
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.288314	1.002435	-0.723759	2.281611	-0.324827	0.694249	5.199150	44.928456	0.6938	0.7034	0.3956	7.736578	7.131346
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7032	0.7142	0.4006	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.7018	0.7105	0.3983	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.897438	4.834511	-0.667194	11.804259	4.619358	49.486472	3.666770	12.115990	0.6999	0.6957	0.3953	14.411366	10.489575
2459551	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.145611	0.732304	-0.035022	2.433623	0.538955	2.601371	2.858230	30.088739	0.6971	0.7096	0.3937	3.531967	3.317910
2459550	RF_maintenance	-	99.18%	99.18%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0332	0.0326	0.0004	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.286489	0.919333	-0.577498	4.469483	-0.494809	4.378738	2.882413	47.834591	0.6934	0.7049	0.4018	0.000000	0.000000
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.439448	1.581599	0.206806	4.375141	-0.682709	4.927084	6.922109	30.850183	0.7593	0.7610	0.3521	4.854949	5.621072
2459541	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.236150	0.839168	-1.076934	9.889237	-0.443773	12.121517	3.110048	24.510561	0.7631	0.7610	0.3289	0.000000	0.000000
2459540	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.168531	0.541300	-0.157971	6.835765	-0.108881	0.993318	2.142715	6.377250	0.7603	0.7482	0.3429	4.293856	3.818283
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.065609	1.488201	-0.514160	21.536091	0.216265	3.404710	7.211356	15.007576	0.7197	0.7192	0.4364	0.000000	0.000000
2459535	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.618397	0.635051	-0.787301	5.200399	-1.028339	1.812440	0.808695	4.697094	0.7846	0.7664	0.3653	0.737487	0.750277
2459534	RF_maintenance	100.00%	98.66%	98.66%	0.00%	100.00%	0.00%	3.125091	3.704082	-0.722847	5.336204	2.412220	4.323329	8.247335	8.228173	0.1186	0.1459	0.0448	0.000000	0.000000
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.591482	0.851620	-0.760991	13.288785	0.161666	3.929494	1.822970	12.876321	0.7162	0.7095	0.4086	0.000000	0.000000
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.267629	1.358957	-0.727116	18.301368	0.071024	3.931616	3.121915	6.722938	0.7175	0.7166	0.4051	2.655299	3.253560
2459530	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.161622	0.670935	-0.047972	5.540696	0.386641	1.990656	3.387810	4.958735	0.7347	0.7281	0.4051	0.000000	0.000000
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.169002	1.917536	-0.215886	34.554532	1.236768	5.349315	3.604385	5.125419	0.9033	0.9193	0.3196	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	1.126908	2.651038	-0.072745	34.955566	0.665599	8.103000	2.859820	5.964256	nan	nan	nan	2.246513	1.749998
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.003531	2.671984	-0.568056	34.071022	1.047257	2.460630	4.863155	4.225445	0.6911	0.6479	0.3359	0.000000	0.000000
2459513	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.462754	1.418887	-0.924306	1.056160	0.484643	2.735696	2.738944	11.853666	0.0321	0.0346	0.0008	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.254482	1.129185	-0.425956	3.112096	-0.356802	1.733028	-0.199451	3.569199	0.9184	0.9525	0.1774	0.000000	0.000000
2459505	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.378776	0.929443	-0.813776	4.199253	2.656472	0.995200	16.204274	0.986060	0.1030	0.1037	0.0075	1.371353	1.348667
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.343338	3.396503	-0.833966	5.102244	-0.960468	8.167311	6.908417	1.631749	0.8581	0.8538	0.4670	0.000000	0.000000
2459501	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.840138	3.822478	-0.187324	5.533386	0.588819	4.348838	3.849559	1.228338	0.2032	0.2410	0.0437	0.000000	0.000000
2459500	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.394259	5.422349	-0.057300	5.396383	0.526632	7.751515	2.780098	1.372615	0.2016	0.2389	0.0457	0.000000	0.000000
2459499	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.898960	5.740155	0.000301	6.304965	0.100402	7.623530	5.061159	6.966471	0.2034	0.2448	0.0267	0.000000	0.000000
2459498	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.758073	4.493089	-0.991939	4.297867	-0.871263	5.254659	3.424464	2.574076	0.1908	0.2417	0.0485	0.000000	0.000000
2459497	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.346226	4.905935	-1.040196	4.658017	-0.970884	6.974534	6.658362	1.505788	0.2545	0.2862	0.0582	0.000000	0.000000
2459496	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-1.023982	5.772521	-0.761350	4.201749	-1.002526	5.939969	2.719189	1.928859	0.8981	0.9132	0.3970	0.000000	0.000000
2459495	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.487622	4.577018	-0.645452	3.861445	-0.796653	5.180818	7.256222	2.824600	0.8926	0.9075	0.4307	0.000000	0.000000
2459494	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.313961	4.736293	-0.797788	4.234097	-1.321595	5.507152	2.629210	1.410599	0.8824	0.8961	0.4433	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.197472	3.239634	-1.303898	6.965007	-0.026601	5.131672	8.957826	8.351920	0.7513	0.7978	0.3341	0.000000	0.000000
2459491	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.295195	4.227234	-1.280721	7.156206	-0.377299	8.027678	4.399123	4.007382	0.7914	0.8131	0.2623	0.000000	0.000000
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.131936	4.310127	-1.742062	7.773438	-0.561659	5.515529	3.708612	4.203318	0.7427	0.7933	0.3776	0.000000	0.000000
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.475031	2.829795	-1.293512	6.968525	0.346545	5.494899	7.141901	5.898363	0.7609	0.8022	0.3265	0.000000	0.000000
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.215809	1.676468	-1.025136	4.992702	0.767873	3.978749	11.076849	14.919095	0.7635	0.8070	0.3541	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 187 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 187, Node 14:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 187: 2459597

Antenna 187: 2459596

Antenna 187: 2459595

Antenna 187: 2459594

Antenna 187: 2459593

Antenna 187: 2459592

Antenna 187: 2459591

Antenna 187: 2459590

Antenna 187: 2459589

Antenna 187: 2459588

Antenna 187: 2459587

Antenna 187: 2459586

Antenna 187: 2459585

Antenna 187: 2459584

Antenna 187: 2459583

Antenna 187: 2459582

Antenna 187: 2459581

Antenna 187: 2459580

Antenna 187: 2459579

Antenna 187: 2459578

Antenna 187: 2459577

Antenna 187: 2459576

Antenna 187: 2459575

Antenna 187: 2459574

Antenna 187: 2459573

Antenna 187: 2459572

Antenna 187: 2459571

Antenna 187: 2459570

Antenna 187: 2459569

Antenna 187: 2459566

Antenna 187: 2459565

Antenna 187: 2459564

Antenna 187: 2459563

Antenna 187: 2459562

Antenna 187: 2459561

Antenna 187: 2459560

Antenna 187: 2459559

Antenna 187: 2459558

Antenna 187: 2459556

Antenna 187: 2459552

Antenna 187: 2459551

Antenna 187: 2459549

Antenna 187: 2459542

Antenna 187: 2459541

Antenna 187: 2459540

Antenna 187: 2459536

Antenna 187: 2459535

Antenna 187: 2459534

Antenna 187: 2459533

Antenna 187: 2459532

Antenna 187: 2459530

Antenna 187: 2459527

Antenna 187: 2459524

Antenna 187: 2459523

Antenna 187: 2459522

Antenna 187: 2459513

Antenna 187: 2459508

Antenna 187: 2459506

Antenna 187: 2459505

Antenna 187: 2459503

Antenna 187: 2459501

Antenna 187: 2459500

Antenna 187: 2459499

Antenna 187: 2459498

Antenna 187: 2459497

Antenna 187: 2459496

Antenna 187: 2459495

Antenna 187: 2459494

Antenna 187: 2459492

Antenna 187: 2459491

Antenna 187: 2459490

Antenna 187: 2459489

Antenna 187: 2459488

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶